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AI Still Driving Europe Earnings Strength, Morgan Stanley Says

Summarized by NextFin AI
  • Europe's earnings season shows a projected 15.3% growth for blue-chip companies, the highest since late 2022, but this is largely driven by energy sector performance.
  • Non-energy companies in Europe's STOXX 600 are expected to see only 6% growth, significantly lower than the S&P 500's 19.6%, indicating a narrower recovery.
  • Investor focus is shifting towards long-term demand and profit sustainability, with management guidance for 2027 becoming crucial for future valuations.
  • The current earnings strength appears cyclical rather than structural, as Europe lacks a broad AI-driven profit engine like the U.S., relying instead on a limited set of suppliers.

NextFin News - Artificial intelligence is still helping support Europe’s earnings season, but the bigger question is not whether AI matters. It is whether the profit lift now showing up across the region is a temporary cyclical boost or the first sign of a structural shift. Marina Zavolock, chief European equity strategist at Morgan Stanley, said Europe is drawing more interest because of the strong earnings season, and the latest quarter gives that view a hard-number backdrop: European blue-chip companies are forecast to post 15.3% second-quarter earnings growth, the best pace since the final quarter of 2022.

That headline number is stronger than the underlying trend. When energy is stripped out, the growth rate falls to 6.0%. For non-energy companies in Europe’s STOXX 600, the expected earnings increase is 6%, while non-energy companies in the S&P 500 are forecast to deliver 19.6% growth. Those comparisons matter more than the single headline because they show where the momentum is real and where it is still being flattered by sector mix. Europe is not producing a broad AI-led profit boom. It is producing a narrower recovery in which energy, pricing power and selected technology-linked companies are doing much of the work.

The Bloomberg video itself frames the point tightly. Zavolock said, “We’re seeing more interest in European equities in part because of the strong earnings season.” That interest has been visible in the market. At the end of June, European shares logged their biggest quarterly gain in more than five years, with technology stocks leading the move. On that day, the STOXX 600 technology sub-index rose 2.5%, ASML gained 6.8%, STMicroelectronics added 1.4%, and Infineon rose 4.4%. The market was already rewarding AI exposure through the supply chain before this latest earnings batch arrived.

But the way that interest is being expressed matters. Europe is not home to a U.S.-style cluster of hyperscalers that can turn AI spending into an economy-wide profit engine. Instead, the transmission channel runs through suppliers: chip equipment makers, semiconductors, software infrastructure providers, industrial firms tied to automation, and a handful of financials and exporters that benefit when corporate investment stays firm. That means AI can lift European earnings without changing the basic structure of the region’s market. It can support a quarter, even a year, without yet proving that Europe has entered a new regime.

The market’s behavior also suggests that much of the near-term good news is already embedded. Investors are increasingly focused on what companies say about demand and profits into 2027, not just on the second-quarter beat. That is a classic sign that the next rerating will depend less on whether the quarter looks good and more on whether managements can show durable order growth, margin support and repeated AI-related spending. If that follow-through fails, the current enthusiasm will look cyclical rather than structural.

Why The Strength Still Looks Cyclical

The cleanest reading is that Europe’s earnings strength remains cyclical. Three facts point that way. First, the headline 15.3% growth rate drops to 6.0% without energy, which tells you how much of the result still depends on sector composition rather than a broad improvement in corporate earning power. Second, the 6% expected growth for Europe’s non-energy STOXX 600 companies trails the 19.6% forecast for S&P 500 non-energy companies by a wide margin, which suggests Europe is improving but not converging on the U.S. profit machine. Third, investors are already looking beyond the quarter and toward 2027 guidance, which usually happens when the immediate earnings print is viewed as a known good rather than the start of a full valuation reset.

That is the key mechanism. AI spending does not raise all boats equally. It pushes orders and margins toward the firms that sit closest to the capex cycle, while the wider index only benefits if those gains spread into broader demand, better pricing power and more persistent capital formation. In Europe, the first stage is visible. The second is not yet clear. That makes the current move look like a narrow transmission of a global AI buildout, not the creation of a self-sustaining European AI economy.

This is why the cycle/structure call matters. A cyclical move can stay strong for several quarters if energy prices, operating leverage and supplier demand remain supportive. But it reverts when the same forces normalize. A structural move would require evidence that Europe is no longer just selling into the AI cycle but is building its own durable platform of compute investment, software monetization and reinvestment. So far, the region’s earnings season shows exposure to AI, not ownership of the AI stack.

There is also historical context. Europe has had periods when a few sectors carry the whole index: energy during commodity upswings, banks during rate normalization, exporters when the currency helps, and technology hardware during semiconductor upcycles. Those episodes can last, but they rarely reprice the entire market unless breadth broadens. The current season has the same fingerprints. The headline is strong. The breadth is not.

“We’re seeing more interest in European equities in part because of the strong earnings season,” Marina Zavolock said on Bloomberg Television.

The quote matters because it keeps the judgment modest. The attraction to Europe is earnings-led. It is not yet a statement that Europe has solved its growth problem. A strong season can pull capital in; only repeated breadth can keep it there.

What The Market Is Pricing And What It Is Missing

The market is already giving Europe some credit for AI exposure. European shares posted their biggest quarterly rise in more than five years at the end of June, and technology led the advance. ASML’s 6.8% gain, STMicroelectronics’ 1.4% rise and Infineon’s 4.4% increase showed that investors were willing to pay for names linked to the AI supply chain even before the latest earnings forecasts had fully played out. That tells you the first-order AI trade is not new. What is new is the argument over how much of the region can participate.

Second-order thinking pushes the story one step further. If AI-related spending keeps supporting only a narrow set of suppliers, European earnings can remain healthy while the region still underperforms the U.S. on growth. If AI demand starts to spread into a wider range of industrial, software and financial names, then the market can begin to treat Europe as a broader beneficiary of the cycle. That distinction matters for valuations. A narrow supplier trade can lift sectors. A broad demand cycle can lift the market.

There is a further channel that investors are already weighing. When management teams talk about orders, pricing and margins into 2027, they are not just describing next quarter. They are signaling whether capital spending is turning into repeatable revenue or whether it is still a one-off burst tied to an early AI buildout. That is the difference between a market that buys earnings momentum and a market that buys a compounder narrative. Europe has some of the former. It does not yet have proof of the latter.

The strongest counter-thesis is that Europe’s profit story is already becoming more structurally AI-linked than the headline numbers imply. A skeptic can point out that semiconductors, equipment makers and software names have been among the market’s strongest performers, that AI spending is still in an early deployment phase, and that suppliers often capture the economics before the platform owners do. On that reading, Europe is not lagging the AI economy; it is simply participating from a different point in the value chain. The next few quarters, not the current one, will show whether that participation is broad enough to matter at the index level.

That view deserves respect, but it has a falsifying signal attached. If the next two earnings seasons keep showing non-energy earnings growth around the current 6% level while U.S. non-energy growth stays near the high teens, the case for a broad structural re-rating in Europe weakens sharply. In that scenario, AI would remain a useful earnings support, but not a regime shift. The market would still be rewarding a supplier base, not pricing a new center of gravity.

Put differently, Europe can be rightfully more interesting without being fundamentally transformed. That is the nuance the market is still debating. A season can be strong. A regime can still be unchanged.

Outlook: Who Benefits, Who Is Exposed

In the short term, the beneficiaries are the companies closest to the AI and capex supply chain, along with energy names that continue to inflate headline earnings growth. That group includes semiconductors, equipment makers and selected industrial and software firms with direct exposure to corporate technology spending. The exposed group is broader Europe: consumer companies, domestically focused cyclicals and firms without meaningful pricing power may find that a strong earnings season does little to narrow the gap in market leadership.

The medium-term question is whether 2027 commentary confirms that AI-related demand is becoming repeatable rather than episodic. Investors are already looking in that direction, which means order books, margin guidance and capital spending plans will matter more than the second-quarter beat itself. If management teams show that AI demand is recurring and broadening, the case for a more durable rerating improves. If they do not, the current move will be remembered as a cyclical catch-up with a technology tailwind.

There is also a cross-asset implication. A stronger European earnings backdrop can help equities hold up even if the macro picture remains mixed, because the market can separate company-level profit momentum from the broader growth cycle. But if AI-related spending fails to broaden, bond markets are unlikely to reprice Europe as a new growth regime, and currency gains should remain limited. That would leave the index supported, but not transformed.

Over the long term, Europe still faces the same strategic issue: it can benefit from AI spending without building the kind of platform layer that generates the outsized profit pools seen in the U.S. That does not prevent earnings growth. It does limit how far the market can stretch the valuation gap on the assumption that Europe has become a new AI center. A region can be an efficient supplier to a boom and still not own the boom.

The base case is that Europe keeps posting solid earnings, with AI helping a narrow set of winners and energy still boosting the headline rate. The upside case is that AI spending spreads enough to broaden earnings breadth and improve 2027 guidance across more sectors. The downside case is that the season proves narrow again, with energy fading and AI remaining concentrated in a few names. The signal that would challenge the constructive view is straightforward: if non-energy growth slips back to low-single digits while companies stay cautious on capex and orders, the AI story is still supporting Europe — but it is not transforming it.

Europe is not yet the center of the AI boom. It is the market where the boom is still showing up in earnings. That difference is the whole story.

Explore more exclusive insights at nextfin.ai.

Insights

What are the key technical principles driving AI's impact on European earnings?

What historical context influences Europe's current earnings strength in relation to AI?

How has Europe's earnings growth been affected by energy sector performance?

What distinguishes Europe's earnings growth from that of the U.S. market?

What recent updates have emerged regarding European blue-chip companies' earnings forecasts?

How has investor interest in European equities changed in recent months?

What are the implications of the 2027 guidance for European companies?

What challenges are preventing Europe from becoming a self-sustaining AI economy?

What controversies exist regarding the structural versus cyclical nature of Europe's earnings growth?

How do technology stocks in Europe compare to those in the U.S. regarding AI exposure?

What factors contribute to the cyclical nature of Europe's current earnings strength?

How does the AI supply chain influence European firms' earnings potential?

What recent trends are being observed in European equity markets related to AI?

What are the long-term impacts of AI spending on Europe's market structure?

How might Europe's economic landscape evolve if AI-related demand broadens?

What are the potential consequences if AI spending remains concentrated among a few European firms?

What can historical cases of sector performance in Europe tell us about current market behavior?

How is Europe positioned in the global AI economy compared to other regions?

What metrics are crucial for assessing the durability of Europe's earnings growth linked to AI?

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